Bahrain vs San Marino: Regulatory Quality - Governance estimate
Regulatory Quality - Governance estimate over time
- Bahrain
- San Marino
How they compare
Bahrain currently reports 0.9502 approx. -2.5 to +2.5 against 0.8653 approx. -2.5 to +2.5 in San Marino, a difference of 0.0849 approx. -2.5 to +2.5.
That makes Bahrain's figure about 1.1 times San Marino's.
The two have swapped places 1 time across 10 shared years of data; in 2015 it was San Marino ahead.
Bahrain ranks 37th and San Marino ranks 40th of 204 countries.
San Marino has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Bahrain | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.5567 approx. -2.5 to +2.5 | 0.8715 approx. -2.5 to +2.5 | 0.3148 approx. -2.5 to +2.5 | San Marino |
| 2020s | 0.8163 approx. -2.5 to +2.5 | 0.8666 approx. -2.5 to +2.5 | 0.0502 approx. -2.5 to +2.5 | San Marino |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher regulatory quality - governance estimate, Bahrain or San Marino?
- Bahrain, at 0.9502 approx. -2.5 to +2.5 against 0.8653 approx. -2.5 to +2.5 in San Marino as of 2024.
- What is the difference in regulatory quality - governance estimate between Bahrain and San Marino?
- 0.0849 approx. -2.5 to +2.5, with Bahrain ahead.
- How many years of comparable data are there for Bahrain and San Marino?
- 10 years are reported by both, from 2015 to 2024.
- How do Bahrain and San Marino rank globally for regulatory quality - governance estimate?
- Bahrain ranks 37th and San Marino ranks 40th of 204 countries.
- Where does this data come from?
- The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as Regulatory Quality - Governance estimate (approx. -2.5 to +2.5). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Regulatory Quality (RQ) captures perceptions of the government’s ability to design and implement policies and regulations that promote private sector development. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.